Compocyte

Compocyte is a composite classifier for modular hierarchical cell type annotation of single cell data. Using Compocyte you can build different hierarchical classifier architectures following a local classifier per parent node approach. Local classifiers are built around pytorch, sklearn or CatBoost. Local classifiers can be individually modified to account for alterations in classification taxonomies or selectively improve specific annotations in human-in-the-loop approaches. While compocyte has been primarily developed for single cell RNA sequencing data it can also be used with other single cell data compatible with the AnnData and scanpy packages.

Getting started

For a quick dive into using Compocyte to label single-cell data, refer to our Getting started on readthedocs. There, you can also find tutorials to help you make full use of Compocyte's features.

Citation

When using our pretrained classification models, please cite the Zenodo publications above.

When using Compocyte, please cite our publication (DOI will be provided shortly).